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Scientific and Statistical Database Management, International Conference on (1998)
Capri, Italy
Apr. 1, 1998 to Apr. 3, 1998
ISBN: 0-8186-8575-1
pp: 229
M. Gebhardt , RWTH Aachen
M. Jarke , RWTH Aachen
M.A. Jeusfeld , RWTH Aachen
C. Quix , RWTH Aachen
S. Sklorz , RWTH Aachen
ABSTRACT
In this demonstration, we show three interrelated tools intended to improve different aspects of the quality of data warehouse solutions. Firstly, the deductive object manager ConceptBase is intended to enrich the semantics of data warehouse solutions by including an explicit enterprise-centered concept of quality. The positive impact of precise multidimensional data models on the client interface is demonstrated by CoDecide, an Internet-based toolkit for the flexible visualization of multiple, interrelated data cubes. Finally, MIDAS is a hybrid data mining system which analyses multi-dimensional data to further enrich the semantics of the meta database, using a combination of neural network techniques, fuzzy logic, and machine learning.
INDEX TERMS
data mining, data warehouse, OLAP, multidimensional data, quality management, meta data
CITATION

C. Quix, M. Jarke, M. Gebhardt, S. Sklorz and M. Jeusfeld, "Tools for Data Warehouse Quality," Scientific and Statistical Database Management, International Conference on(SSDBM), Capri, Italy, 1998, pp. 229.
doi:10.1109/SSDM.1998.688130
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